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Chixiang Lu
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Preservational learning improves self-supervised medical image models by reconstructing diverse contexts
HY Zhou, C Lu, S Yang, X Han, Y Yu
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
852021
Convnets vs. transformers: Whose visual representations are more transferable?
HY Zhou, C Lu, S Yang, Y Yu
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
562021
A unified visual information preservation framework for self-supervised pre-training in medical image analysis
HY Zhou, C Lu, C Chen, S Yang, Y Yu
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (7), 8020-8035, 2023
252023
Generalized organ segmentation by imitating one-shot reasoning using anatomical correlation
HY Zhou, H Liu, S Cao, D Wei, C Lu, Y Yu, K Ma, Y Zheng
Information Processing in Medical Imaging: 27th International Conference …, 2021
72021
EMDiffuse: a diffusion-based deep learning method augmenting ultrastructural imaging and volume electron microscopy
C Lu, K Chen, H Qiu, X Chen, G Chen, X Qi, H Jiang
bioRxiv, 2023.07. 12.548636, 2023
42023
Pcrlv2: A unified visual information preservation framework for self-supervised pre-training in medical image analysis
HY Zhou, C Lu, C Chen, S Yang, Y Yu
arXiv preprint arXiv:2301.00772, 2023
32023
Diffusion-based deep learning method for augmenting ultrastructural imaging and volume electron microscopy
C Lu, K Chen, H Qiu, X Chen, G Chen, X Qi, H Jiang
Nature Communications 15 (1), 4677, 2024
2024
GraVIS: Grouping Augmented Views From Independent Sources for Dermatology Analysis
HY Zhou, C Lu, L Wang, Y Yu
IEEE Transactions on Medical Imaging 41 (12), 3498-3508, 2022
2022
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